Concepedia

Cold-start Bridging

Cold-Start Bridging is a methodological framework in recommendation systems that specifically addresses the cold-start problem by establishing mechanisms to transfer knowledge or infer preferences for new users or items through auxiliary information, side data, or cross-domain alignments, thereby enabling effective recommendation in the absence of direct interaction history.

2

Publications

231

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

10

  1. QH
    Qing He

    Chinese Academy of Sciences, China

    2 publications · 231 citations

    2

    h-index

  2. LL
    Leyu Lin

    Tencent (China), China

    2 publications · 231 citations

    2

    h-index

  3. YL
    Yudan Liu

    Louisiana Tech University, United States

    2 publications · 231 citations

    2

    h-index

  4. RX
    Ruobing Xie

    Tencent (China), China

    2 publications · 231 citations

    2

    h-index

  5. FZ
    Fuzhen Zhuang

    Beihang University, China

    2 publications · 231 citations

    2

    h-index

1–5 of 10

Institutions

4

  1. University of Chinese Academy of Sciences

    Beijing, China

    1 h-index

    2 publications

    434 citations

  2. Institute of Computing Technology

    Beijing, China

    1 h-index

    3 publications

    651 citations

  3. Beihang University

    Beijing, China

    1 h-index

    1 publications

    217 citations

  4. Tencent (China)

    Shenzhen, China

    1 h-index

    5 publications

    1.1K citations

1–4 of 4

Venues

  1. 1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

1–2